Atlassian CTO Examines How AI Coding Agents Are Reshaping Software Engineering
AI coding agents are shifting the bottleneck in software engineering away from writing code and toward clarifying requirements, designing systems, testing and operations. Atlassian Chief Technology Officer Rajeev Rajan believes engineers will increasingly act as orchestrators coordinating people and agents. But if companies focus solely on generating code faster, the risks to quality, security and customer trust will rise in tandem.
The Rundown AI published an interview with Rajan on March 8, 2026. By 2028, most code at large enterprises could be generated by AI, while research indicates that 45% of AI-generated code contains security flaws. Atlassian's Rovo Dev has shortened pull-request cycles by 45% and automatically resolved 51% of potential security vulnerabilities, with humans still responsible for review, monitoring and rollbacks.
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The history behind this eventGitHub Updates Copilot Code Review Controls and Settings
GitHub Copilot code review has used an agentic architecture running on GitHub Actions since March 5, 2026. It uses a GitHub-hosted runner by default, but can instead use a self-hosted or larger runner. The computing environment for AI reviews, the content they can access and the rules governing teams have therefore become important elements of corporate governance and cybersecurity controls.
GitHub announced an update on June 12, 2026, allowing organization administrators to centrally specify and lock a default runner across all repositories. Copilot will also follow content-exclusion rules at the repository, organization and enterprise levels. GitHub has removed the previous 4,000-character reading limit for custom instruction files in the .github directory and has not announced any additional fees.
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